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July 31, 2017Research Synthesis Methods251 citations

Methods for including information from multi‐arm trials in pairwise meta‐analysis

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GRGerta RückerCCChristopher J CatesGSGuido Schwarzer

Key Points

  • To present, compare, and provide recommendations for five statistical approaches—including a novel method—for incorporating multi-arm studies into pairwise meta-analyses without generating unit-of-analysis errors.
  • Presented five distinct analytical strategies for integrating multi-arm trial data into standard pairwise meta-analyses, introducing a novel method (method 4).
  • Demonstrated the practical application, scope, advantages, and limitations of each method across three selected empirical datasets.
  • Demonstrated how different strategies, including arm combination, control arm splitting, and the novel approach, prevent double-counting participants and handle correlated effect estimates.
  • Provided specific guidance and recommendations for systematic reviewers to select the most appropriate method depending on the trial structure and meta-analytic objective.

Abstract

Systematic reviewers conducting pairwise meta-analyses sometimes encounter multi-arm studies. To include these studies, and to avoid a unit-of-analysis error, often two or more arms are combined or the control arm is split. In this tutorial, we present 5 different approaches that can be used. Particularly, we present a novel approach (method 4) that to the best of our knowledge has not been presented before. We demonstrate their application on 3 selected data sets, discuss their scope of application and their advantages and limitations, and give recommendations.

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Cite This Study

Rücker et al. (2017) studied this question.

synapsesocial.com/papers/69d8395361e2ce1627d18f69https://doi.org/10.1002/jrsm.1259
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